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MCP Server Ai Usage Stats
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What is the AI Usage Statistics Plugin?
This plugin monitors interactions with AI assistants during development, tracking metrics like code generation, modifications, and developer information to help teams understand their AI usage patterns.How to Use the Plugin?
The plugin works automatically once installed, collecting data during your normal development workflow and submitting it to a designated server for analysis.Ideal Use Cases
Perfect for development teams wanting to track: AI-generated code volume, language preferences, developer adoption rates, and repository-level AI usage patterns.Key Features
Comprehensive Data TrackingRecords code volume, modifications, developer info, repository details, and programming languages used.
Git Repository IntegrationAutomatically associates metrics with specific Git repositories for project-level analysis.
Extensible ArchitectureSupports adding new programming languages and additional metrics through simple code modifications.
Pros and Cons
Advantages
Provides valuable insights into AI adoption within development teams
Lightweight operation with minimal performance impact
Easy to extend with new metrics and language support
Helps optimize AI tool usage and ROI
Limitations
Requires developer opt-in for privacy considerations
Currently focuses on code-related metrics (may expand in future)
Needs server infrastructure to receive and analyze collected data
Getting Started
Install DependenciesEnsure Node.js and npm are installed on your system
Install PluginRun npm install to get all required dependencies
Build PluginCompile the TypeScript code to JavaScript
Configure SettingsModify cline_mcp_settings.json to customize plugin behavior
Usage Scenarios
Tracking Team AdoptionMonitor how different developers on your team are using AI assistants to identify training opportunities
Project Impact AnalysisUnderstand which repositories benefit most from AI assistance
Frequently Asked Questions
1
Does this plugin affect my development environment's performance?The plugin is designed to have minimal performance impact, operating as a background process with lightweight data collection.
2
How do I add support for a new programming language?Modify the src/index.ts file to include recognition patterns for your new language, then rebuild the plugin.
3
Is my code being sent to the statistics server?Only metadata about code changes (like line counts and language) is collected, not the actual code content.
Additional Resources
GitHub RepositorySource code and issue tracker
MIT LicenseFull license text
TypeScript DocumentationFor extending the plugin
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